Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: claude-cookbooks
Author: anthropics · Source status: Clear source
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
claude-code-base-action
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
security-ownership-map
Execution risk：High
Threat tags：data exfiltration, human approval gap
Control gaps：missing license, broad permissions, network without allowlist
Agent Sync
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | claude-code-base-action | security-ownership-map | Agent Sync |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 66 · Manual review | 70 · Manual review | 60 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 65% | 67% | 67% |
| Source & provenance | |||
Provenance | anthropics/claude-code-base-action | openai/skills/tree/main/skills/.curated/security-ownership-map | openclaw/skills |
Category | Automation & Workflows | Data & Analytics | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | writes files | network access, runs shell, writes files |
Permission hints | repository clone | registry access, remote metadata pull, runtime dependencies may be required | target os: macos, target os: linux, verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Claude, Codex, Cursor, OpenClaw, Windsurf, GitHub Copilot |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 791 | 7.3K | 0 |
Repository: claude-code-router
Author: musistudio · Source status: Clear source
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: FastGPT
Author: labring · Source status: Clear source
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily devel…
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: caveman
Author: JuliusBrussee · Source status: Clear source
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: anything-llm
Author: Mintplex-Labs · Source status: Clear source
The all-in-one AI productivity accelerator.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: n8n-workflows
Author: Zie619 · Source status: Clear source
all of the workflows of n8n i could find (also from the site itself)
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-14 |
2026-02-11 |
2026-04-05 |
75 |
50 |
50 |
